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Error: unused arguments #3
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I just tried your example code and it seems to work fine for me, see repex below. library(JTRCI)
df <- cbind.data.frame("ppid" = seq(1:64),
"pre" = rnorm(64, 65, 8),
"post" = c(rnorm(32, 40, 8), rnorm(32, 45, 8)),
"group" = rep(c("treatment", "control"), each = 32))
JTRCI(data = df,
ppid = "ppid",
pre = "pre",
post = "post",
reliability = .8,
indextype = "JT",
JTcrit = "auto")
#> Assumed that lower scores are better (and reduction == improvement),
#> if that is incorrect: set higherIsBetter = T
#> NB: using the sample baseline distribution to characterize the dysfunctional population.
#> to change: provide norms for dysfunctional population using 'dysfM =' and 'dysfSD ='
#> Jacobson-Truax criterion A: 46.9
#> this value represents two sd from the baseline sample mean
#> 1 participants scored below the Jacobson-Truax cut-off score at the pre-measurement
#> interpret their Jacobson-Truax classification with caution
#> Loading required package: data.table
#> Jacobson-Truax classification N
#> 1: deteriorated 0
#> 2: unchanged 17
#> 3: improved 12
#> 4: non reliably recovered 4
#> 5: recovered 31 Created on 2021-01-21 by the reprex package (v0.3.0) Session infodevtools::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.0.2 (2020-06-22)
#> os macOS 10.16
#> system x86_64, darwin17.0
#> ui X11
#> language (EN)
#> collate en_GB.UTF-8
#> ctype en_GB.UTF-8
#> tz Europe/Tallinn
#> date 2021-01-21
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0)
#> callr 3.5.1 2020-10-13 [1] CRAN (R 4.0.2)
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#> httr 1.4.2 2020-07-20 [1] CRAN (R 4.0.2)
#> JTRCI * 0.1.0 2020-06-29 [1] local
#> knitr 1.30 2020-09-22 [1] CRAN (R 4.0.2)
#> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.0.2)
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#> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.2)
#> memoise 1.1.0 2017-04-21 [1] CRAN (R 4.0.0)
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#>
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Dear Milan Wiedemann
Thank you so much for your kind reply.
Very strange, but not that I just re-attempted the code it seems to now work first time.
Thanks Milan
Excellent package by the way
Chris
Christopher Gaskell
Trainee Clinical Psychologist
University of Sheffield
… On 21 Jan 2021, at 11:43, Milan Wiedemann ***@***.***> wrote:
I just tried your example code and it seems to work fine for me, see repex below.
If you're still having problems running the code, could you send more information about your R session (e.g., version number of R, version number of packages)?
library(JTRCI)
df <- cbind.data.frame("ppid" = seq(1:64),
"pre" = rnorm(64, 65, 8),
"post" = c(rnorm(32, 40, 8), rnorm(32, 45, 8)),
"group" = rep(c("treatment", "control"), each = 32))
JTRCI(data = df,
ppid = "ppid",
pre = "pre",
post = "post",
reliability = .8,
indextype = "JT",
JTcrit = "auto")
#> Assumed that lower scores are better (and reduction == improvement),
#> if that is incorrect: set higherIsBetter = T
#> NB: using the sample baseline distribution to characterize the dysfunctional population.
#> to change: provide norms for dysfunctional population using 'dysfM =' and 'dysfSD ='
#> Jacobson-Truax criterion A: 46.9
#> this value represents two sd from the baseline sample mean
#> 1 participants scored below the Jacobson-Truax cut-off score at the pre-measurement
#> interpret their Jacobson-Truax classification with caution
#> Loading required package: data.table
#> Jacobson-Truax classification N
#> 1: deteriorated 0
#> 2: unchanged 17
#> 3: improved 12
#> 4: non reliably recovered 4
#> 5: recovered 31
<https://camo.githubusercontent.com/3d7ab0a762919a2bd15244814ad793139097822ac7079259630c7d6d75bf5a6d/68747470733a2f2f692e696d6775722e636f6d2f3958784468756b2e706e67>
Created on 2021-01-21 by the reprex package <https://reprex.tidyverse.org/> (v0.3.0)
Session info
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Thank you for providing this excellent resource. It is EXACTLY what I have been looking for. I was hoping you could help me with the following. I am not sure if it is a bug with the package or (more likely) I am doing something wrong.
I am having a problem with running the example code. I have installed the package via devtools and run your example code (below) however it returns the error '
Error in JTRCI(data = df, pre = "pre", post = "post", group = "group", :
unused arguments (data = df, pre = "pre", post = "post", group = "group", indextype = "RCI")
Code used:
df <- cbind.data.frame("ppid" = seq(1:64),
"pre" = rnorm(64, 65, 8),
"post" = c(rnorm(32, 40, 8), rnorm(32, 45, 8)),
"group" = rep(c("treatment", "control"), each = 32))
Truly appreciate any help you can provide
The text was updated successfully, but these errors were encountered: